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Cited by in F6Publishing
For: Crombé A, Buy X, Han F, Toupin S, Kind M. Assessment of Repeatability, Reproducibility, and Performances of T2 Mapping-Based Radiomics Features: A Comparative Study. J Magn Reson Imaging 2021;54:537-48. [PMID: 33594768 DOI: 10.1002/jmri.27558] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Bologna M, Tenconi C, Corino VDA, Annunziata G, Orlandi E, Calareso G, Pignoli E, Valdagni R, Mainardi LT, Rancati T. Repeatability and reproducibility of MRI-radiomic features: A phantom experiment on a 1.5 T scanner. Med Phys 2023;50:750-62. [PMID: 36310346 DOI: 10.1002/mp.16054] [Reference Citation Analysis]
2 Scalco E, Rizzo G, Mastropietro A. The stability of oncologic MRI radiomic features and the potential role of deep learning: a review. Phys Med Biol 2022;67:09TR03. [DOI: 10.1088/1361-6560/ac60b9] [Reference Citation Analysis]
3 Duan J, Qiu Q, Zhu J, Shang D, Dou X, Sun T, Yin Y, Meng X. Reproducibility for Hepatocellular Carcinoma CT Radiomic Features: Influence of Delineation Variability Based on 3D-CT, 4D-CT and Multiple-Parameter MR Images. Front Oncol 2022;12:881931. [DOI: 10.3389/fonc.2022.881931] [Reference Citation Analysis]
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